Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes
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In: INLAND WATERS, Vol. 6, No. 4, 02.11.2016, p. 581-592.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes
AU - Dugan, Hilary A.
AU - Woolway, R. Iestyn
AU - Santoso, Arianto B.
AU - Corman, Jessica R.
AU - Jaimes, Aline
AU - Nodine, Emily R.
AU - Patil, Vijay P.
AU - Zwart, Jacob A.
AU - Brentrup, Jennifer A.
AU - Hetherington, Amy L.
AU - Oliver, Samantha K.
AU - Read, Jordan S.
AU - Winters, Kirsten M.
AU - Hanson, Paul C.
AU - Read, Emily K.
AU - Winslow, Luke A.
AU - Weathers, Kathleen C.
PY - 2016/11/2
Y1 - 2016/11/2
N2 - Ecosystem metabolism and the contribution of carbon dioxide from lakes to the atmosphere can be estimated from free-water gas measurements through the use of mass balance models, which rely on a gas transfer coefficient (k) to model gas exchange with the atmosphere. Theoretical and empirically based models of k range in complexity from wind-driven power functions to complex surface renewal models; however, model choice is rarely considered in most studies of lake metabolism. This study used high-frequency data from 15 lakes provided by the Global Lake Ecological Observatory Network (GLEON) to study how model choice of k influenced estimates of lake metabolism and gas exchange with the atmosphere. We tested 6 models of k on lakes chosen to span broad gradients in surface area and trophic states; a metabolism model was then fit to all 6 outputs of k data. We found that hourly values for k were substantially different between models and, at an annual scale, resulted in significantly different estimates of lake metabolism and gas exchange with the atmosphere.
AB - Ecosystem metabolism and the contribution of carbon dioxide from lakes to the atmosphere can be estimated from free-water gas measurements through the use of mass balance models, which rely on a gas transfer coefficient (k) to model gas exchange with the atmosphere. Theoretical and empirically based models of k range in complexity from wind-driven power functions to complex surface renewal models; however, model choice is rarely considered in most studies of lake metabolism. This study used high-frequency data from 15 lakes provided by the Global Lake Ecological Observatory Network (GLEON) to study how model choice of k influenced estimates of lake metabolism and gas exchange with the atmosphere. We tested 6 models of k on lakes chosen to span broad gradients in surface area and trophic states; a metabolism model was then fit to all 6 outputs of k data. We found that hourly values for k were substantially different between models and, at an annual scale, resulted in significantly different estimates of lake metabolism and gas exchange with the atmosphere.
KW - gas exchange
KW - GLEON
KW - lakes
KW - lake models
KW - metabolism
KW - sensor network
U2 - 10.1080/IW-6.4.836
DO - 10.1080/IW-6.4.836
M3 - Article
VL - 6
SP - 581
EP - 592
JO - INLAND WATERS
JF - INLAND WATERS
SN - 2044-2041
IS - 4
ER -